Опубликована: Ноя. 8, 2024
Язык: Английский
IEEE Access, Год журнала: 2024, Номер 12, С. 135469 - 135488
Опубликована: Янв. 1, 2024
With the rapid development of Artificial Intelligence (AI) technology in art field, AI painting tools (AIPT) have attracted a high interest creation art. However, factors affecting Chinese users' continued or interrupted use AIPTs not been adequately studied. This study builds new theoretical model based on perspective user experience, combining Expectation Confirmation Model (ECM) and Technology Acceptance (TAM), with aim deeply exploring continuance intention to AIPT process. We collected data from 532 users that regarded as production tool performed analysis testing using SPSS 27 Partial Least Squares Structural Equation Modeling (PLS-SEM) Smartpls 4. The results showed positive trend overall continuous AIPT. Among 14 hypotheses proposed, 11 were validated 3 rejected. emotion experience (EE) has most significant effect (CI), valuing emotional involvement experience. is followed by satisfaction (SAT), attitude (ATT), perceived usefulness (PU), trust (PT), while intelligence (PI) novelty (PN) indirectly affect CI through mediating variables PT SAT. findings this only contribute both insights into process, comprehensive robust discussion future direction Furthermore, it offers valuable technical solutions practical guidance for developers, underscoring importance considering needs when optimizing technology. It also improves sustained usage facilitates co-creation human beings AI, which provides essential information further commercialization field.
Язык: Английский
Процитировано
2
International Journal of Computing and Digital Systems, Год журнала: 2024, Номер 15(1), С. 1329 - 1341
Опубликована: Июнь 2, 2024
The COVID-19 pandemic's outbreak hastened the digital transformation within Indonesian MSMEs.The crisis necessitated an immediate transition to online platforms sustain business activities, driving many MSMEs surmount previous reluctance and embrace technologies.This research focused on determinant of intention use behaviour fintech payment system among Indonesia MSME's.This study highlights importance urgency understanding evolving dynamics adoption in post-COVID era, using UTAUT shed light these specific factors.The approach used this is quantitative.The sampling technique was purposive which has selection criteria that have engaged with systems for at least one year.The sample size calculation utilized Slovin formula, incorporating a margin error 5% got 399 respondents from Surabaya, Indonesia.Data analysis techniques are SEM-PLS SmartPLS-4.The result finding indicate Performance Expectancy, Effort Social Influences significantly influence Behavioural Intention.However, Facilitating Conditions do not notable impact either Intention or.In addition, Behavioral Use Behaviour MSMEs.This enhances theoretical by utilizing model novel context, only extends model's relevance but also definitively ascertains factors such as performance expectancy, effort social influence, facilitating conditions acceptance FinTech solutions.Practically, offers government make valuable guidance formulating strategies surmounting obstacles integration.Further exploration into facets required future studies policy formulation should better align unique necessities during their processes.
Язык: Английский
Процитировано
1
International Journal of Consumer Studies, Год журнала: 2024, Номер 48(6)
Опубликована: Ноя. 1, 2024
ABSTRACT The aim of this study is to conduct a systematic review the literature on consumer curiosity and its impact behavior. “Scientific Procedures Rationales for Systematic Literature Reviews” (SPAR‐4‐SLR) methodology “Theory, Context, Characteristics, Methodology” (TCCM) framework were employed analyze 122 papers published between 1992 2024. Articles selected from Web Science database using key terms related curiosity. Consumer complex phenomenon that influences various aspects behavior, including purchase decisions, engagement, adaptation new technologies. Curiosity serves as significant moderator mediator in interactions with market, especially context technologies such AI VR. findings indicate growing interest studying recent years, reflected by increasing number publications. practical implications analysis are stakeholders. Businesses can leverage these develop more effective marketing strategies engage consumers stimulating their Understanding how decision‐making also aid development innovative products services better meet consumers' unmet needs. Additionally, academic researchers build theoretical frameworks design future research based identified gaps. Finally, managers professionals apply insights personalize shopping experiences enhance which lead increased brand loyalty competitive advantage. This emphasizes need further role behavior product innovation provides recommendations directions could contribute deeper understanding shapes brands products.
Язык: Английский
Процитировано
1
Humanities and Social Sciences Communications, Год журнала: 2024, Номер 11(1)
Опубликована: Окт. 13, 2024
This study investigated the impact of generative AI tools on human resource management practices, organizational commitment, employee engagement, and performance. The authors also mediating role trust in relationship between user perception commitment. A structured questionnaire was used to collect data from information technology industry employees measure 9 reflective constructs optimism, innovativeness, ease use, usefulness, trust, vigor, dedication, Two constructs, use are modeled as a higher-order construct – User Perception, whereas vigor Dedication another construct, Employee Engagement. mode-fit indices were assessed for both higher- lower-order model-fit models, reveal an excellent model fit. Positive statistically significant impacts observed constructs. commitment engagement positive significant, turn, performance significant. Trust partially mediated fostering enhanced theories readiness, stimulus-organization-response, acceptance utilized development study's theoretical framework, which provided fresh perspectives how influenced by experience context AI. Theoretically, it opens up new applications such personalized education services, digital art, realistic virtual assistants that previously unfeasible or impractical automation. practical implications field interdisciplinary research well will be greatly impacted To facilitate swift adoption, principles conceptualized model-, system-, application-level addition social-technical perspective, where they explicated defined. In end, our has given future scholars agenda enable them different while incorporating concepts these theories.
Язык: Английский
Процитировано
0
Journalism and Media, Год журнала: 2024, Номер 5(4), С. 1624 - 1645
Опубликована: Ноя. 6, 2024
This article aims to investigate the factors that affect behavioural intention (BI) and user behaviour (UB) among Arabian users of generative artificial intelligence (GenAI) applications in context media content creation. The study’s theoretical framework is grounded unified theory acceptance use technology (UTAUT2). A sample 496 was analysed using partial least squares structural equation modelling technique (PLS-SEM). results revealed BI significantly influenced by performance expectancy, effort social influence, hedonic motivation, habit, trust, with motivation having greatest impact. In terms UB, facilitation conditions, were all found have a positive significant study contributes existing on utilisation GenAI organising findings pertaining AI for
Язык: Английский
Процитировано
0
Kybernetes, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 27, 2024
Purpose The rapid development of generative artificial intelligence has witnessed its widespread integration across various industries, contributing to enhanced productivity. However, a comprehensive exploration the underlying factors influencing behavior graphic designers in employing such tools remains incomplete. This research aims amalgamate IDT theory with UTAUT2 model construct structural model, delving into affecting designers’ using GenAI tools. Design/methodology/approach A survey was conducted 394 respondents, and results were analyzed PLS-SEM. Findings findings reveal that most proposed both theories exert positive influences. Notably, study highlights AI anxiety significantly influences usage behavior. Originality/value provides theoretical foundation practical guidance for developers.
Язык: Английский
Процитировано
0
Опубликована: Ноя. 8, 2024
Язык: Английский
Процитировано
0